About Me
My interests are in developing more knowledge to reduce violence against children and Adverse Childhood Experiences (ACES), with the aim of improving child and family wellbeing. In this research I try to understand the family and community origins of aggression, antisocial behavior, anxiety and depression. My current research focuses on parenting and child development in international context. I try to understand these issues within the context of current conversations about children’s rights.
I teach courses mostly in the area of statistics, quantitative methods and data visualization.
- A little bit about my background
- My CV
“Blog-ish” Posts
Selected Courses
Research on Parenting and Child Development
- “Multilevel ecological analysis of the predictors of spanking across 65 countries”
- “Global Perspectives on Positive and Negative Parenting: A Bayesian Multilevel Analysis”.
- “Spanking and young children’s socioemotional development in low- and middle-income countries”
- Open Access
- Data Visualization
- Child Trends News Service has released a well done video summarizing this research.
- Meta-Analysis of Research on Corporal Punishment [PubMed Full Text]
- Earlier Research On Corporal Punishment
- Data Visualization of Country Level Bans on Corporal Punishment
Selected Collaborations
- Work with Performance Measurement Initiative at William Davidson Institute
Stata Materials
- Two Page Stata:
- “Michigan Graph Scheme” for Stata
- Data Visualization With Stata
- Stata Data Visualization Basics
- Miscellaneous Stata Programs
R Materials
- Introduction to R:
- Two Page R:
- Introduction to ggplot2:
- Two Page ggplot2:
- What Geometry Do I Use?
- ggplot Flipbook
- “Advanced” ggplot
- Comparing Program Outcomes with ggplot2
- Colors in R
- Colors in R
- Viridis Colors
- University of Michigan colors for R Graphs [web page] [R package]
- Multi-Page dplyr:
- Themes for the Xaringan Slide Show System
- Working With Data From the World Bank Indicators
Bayesian Statistics
- Thinking Through Bayesian Ideas
- Notes on Accepting the Null (\(H_0\)) Hypothesis
- Bayesian Longitudinal MLM With the Gutten Tree Data
Statistical Tutorials and Visualizations
- What Is Data?
- Causality
- Basics of Quantitative Data Analysis
- t-Test
- Correlation
- Regression
- Logistic Regression
- Cohen’s d Calculator
Data Visualization
- How To Choose A Chart
- Should Everything Be A Bar Graph?
- Data Driven Report Demo
- Variables and Visualization
- Slides for a Lecture on Data Visualization for Political Social Work
Telling Stories With Data
- Visualizing Disparities in a Continuous Risk Factor [PDF]
- Comparing Program Outcomes With ggplot [PDF]
- Graphing Change Over Time [PDF]
Created By
Andrew Grogan-Kaylor
- Web: https://www.umich.edu/~agrogan
- Email: agrogan@umich.edu
- Deep Blue https://deepblue.lib.umich.edu/browse?type=author&value=Grogan-Kaylor%2C+Andrew
- GitHub: https://agrogan1.github.io/
- ResearchGate: https://www.researchgate.net/profile/Andrew_Grogan-Kaylor
- Google Scholar: https://scholar.google.com/citations?user=iLvsGzgAAAAJ&hl=en
- ORCID
https://orcid.org/0000-0003-0065-9991